Transcription of Introduction to Machine Learning - Syllabus
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CPSC 4430 Introduction to Machine Learning CATALOG DESCRIPTION Course Symbol: CPSC 4430 Title: Machine Learning Hours of credit: 3 Course Description Machine Learning uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine Learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security, from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc.
Machine learning uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention.
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